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Quarto Authoring

Checked
posit-dev·vlatest·writing·MIT

Quarto Authoring generates reproducible reports from data and code, streamlining documentation & analysis workflows for improved clarity and reliability.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add posit-dev/skills --skill quarto-authoring -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

posit-dev

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned posit-dev/skills at 1bb49b8eec.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
1bb49b8eec
Manifest
quarto/quarto-authoring/SKILL.md
Scanned
22 files, 5,889 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to author, compile, and publish reproducible technical documents using Quarto. It handles the conversion of markdown-based content into various output formats like HTML, PDF, and slides while managing citations, code execution, and dynamic content generation.

When to use it

  • Generating publication-ready reports from raw data analysis notebooks.
  • Creating interactive slide decks for presentations directly from code.
  • Publishing technical documentation with embedded executable code blocks.
  • Producing reproducible research papers that integrate text, figures, and results.

Key capabilities

  • Multi-format output: Compiles documents into HTML, PDF, Word, and standalone slides.
  • Dynamic content: Executes R, Python, or Julia code to generate live plots and tables within the document.
  • Citation management: Integrates with citation tools like Zotero and BibTeX for academic referencing.
  • Reproducibility: Ensures documents are self-contained and can be regenerated from source files.

Example prompts

  • "Create a Quarto report analyzing the sales data in this CSV file, including line charts for monthly trends."
  • "Generate a slide deck summarizing the key findings from my Python analysis script."
  • "Write a reproducible research paper using R that visualizes climate change data with embedded citations."

Tips & gotchas

Ensure your AI agent has access to the necessary code execution environments (e.g., R or Python kernels) if you require dynamic plotting or statistical calculations within the documents. For best results, provide structured data files alongside your prompts so the agent can accurately populate charts and tables.